Overview

Dataset statistics

Number of variables24
Number of observations10459
Missing cells26167
Missing cells (%)10.4%
Duplicate rows3
Duplicate rows (%)< 0.1%
Total size in memory2.4 MiB
Average record size in memory236.5 B

Variable types

Categorical1
Numeric23

Alerts

Dataset has 3 (< 0.1%) duplicate rowsDuplicates
AverageMInFile is highly overall correlated with MSinceOldestTradeOpenHigh correlation
ExternalRiskEstimate is highly overall correlated with MSinceMostRecentDelq and 5 other fieldsHigh correlation
MSinceMostRecentDelq is highly overall correlated with ExternalRiskEstimate and 1 other fieldsHigh correlation
MSinceMostRecentTradeOpen is highly overall correlated with NumTradesOpeninLast12MHigh correlation
MSinceOldestTradeOpen is highly overall correlated with AverageMInFileHigh correlation
MaxDelq/PublicRecLast12M is highly overall correlated with ExternalRiskEstimate and 4 other fieldsHigh correlation
MaxDelqEver is highly overall correlated with ExternalRiskEstimate and 4 other fieldsHigh correlation
NetFractionRevolvingBurden is highly overall correlated with ExternalRiskEstimate and 2 other fieldsHigh correlation
NumBank/NatlTradesWHighUtilization is highly overall correlated with ExternalRiskEstimate and 2 other fieldsHigh correlation
NumInqLast6M is highly overall correlated with NumInqLast6Mexcl7daysHigh correlation
NumInqLast6Mexcl7days is highly overall correlated with NumInqLast6MHigh correlation
NumRevolvingTradesWBalance is highly overall correlated with NumBank/NatlTradesWHighUtilizationHigh correlation
NumSatisfactoryTrades is highly overall correlated with NumTotalTradesHigh correlation
NumTotalTrades is highly overall correlated with NumSatisfactoryTradesHigh correlation
NumTrades60Ever/DerogPubRec is highly overall correlated with MaxDelq/PublicRecLast12M and 3 other fieldsHigh correlation
NumTrades90Ever/DerogPubRec is highly overall correlated with MaxDelqEver and 1 other fieldsHigh correlation
NumTradesOpeninLast12M is highly overall correlated with MSinceMostRecentTradeOpenHigh correlation
PercentTradesNeverDelq is highly overall correlated with ExternalRiskEstimate and 3 other fieldsHigh correlation
PercentTradesWBalance is highly overall correlated with NetFractionRevolvingBurdenHigh correlation
ExternalRiskEstimate has 598 (5.7%) missing valuesMissing
MSinceOldestTradeOpen has 827 (7.9%) missing valuesMissing
MSinceMostRecentTradeOpen has 588 (5.6%) missing valuesMissing
AverageMInFile has 588 (5.6%) missing valuesMissing
NumSatisfactoryTrades has 588 (5.6%) missing valuesMissing
NumTrades60Ever/DerogPubRec has 588 (5.6%) missing valuesMissing
NumTrades90Ever/DerogPubRec has 588 (5.6%) missing valuesMissing
PercentTradesNeverDelq has 588 (5.6%) missing valuesMissing
MSinceMostRecentDelq has 5428 (51.9%) missing valuesMissing
MaxDelq/PublicRecLast12M has 588 (5.6%) missing valuesMissing
MaxDelqEver has 588 (5.6%) missing valuesMissing
NumTotalTrades has 588 (5.6%) missing valuesMissing
NumTradesOpeninLast12M has 588 (5.6%) missing valuesMissing
PercentInstallTrades has 588 (5.6%) missing valuesMissing
MSinceMostRecentInqexcl7days has 2919 (27.9%) missing valuesMissing
NumInqLast6M has 588 (5.6%) missing valuesMissing
NumInqLast6Mexcl7days has 588 (5.6%) missing valuesMissing
NetFractionRevolvingBurden has 774 (7.4%) missing valuesMissing
NetFractionInstallBurden has 4007 (38.3%) missing valuesMissing
NumRevolvingTradesWBalance has 744 (7.1%) missing valuesMissing
NumInstallTradesWBalance has 1449 (13.9%) missing valuesMissing
NumBank/NatlTradesWHighUtilization has 1171 (11.2%) missing valuesMissing
PercentTradesWBalance has 606 (5.8%) missing valuesMissing
MSinceMostRecentTradeOpen has 105 (1.0%) zerosZeros
NumTrades60Ever/DerogPubRec has 6802 (65.0%) zerosZeros
NumTrades90Ever/DerogPubRec has 7639 (73.0%) zerosZeros
MaxDelq/PublicRecLast12M has 336 (3.2%) zerosZeros
NumTotalTrades has 133 (1.3%) zerosZeros
NumTradesOpeninLast12M has 2508 (24.0%) zerosZeros
PercentInstallTrades has 193 (1.8%) zerosZeros
MSinceMostRecentInqexcl7days has 4582 (43.8%) zerosZeros
NumInqLast6M has 3924 (37.5%) zerosZeros
NumInqLast6Mexcl7days has 4078 (39.0%) zerosZeros
NetFractionRevolvingBurden has 608 (5.8%) zerosZeros
NumRevolvingTradesWBalance has 304 (2.9%) zerosZeros
NumBank/NatlTradesWHighUtilization has 4308 (41.2%) zerosZeros

Reproduction

Analysis started2024-05-31 08:55:38.888203
Analysis finished2024-05-31 08:57:32.566859
Duration1 minute and 53.68 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

RiskPerformance
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size536.1 KiB
Bad
5459 
Good
5000 

Length

Max length4
Median length3
Mean length3.4780572
Min length3

Characters and Unicode

Total characters36377
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBad
2nd rowBad
3rd rowBad
4th rowBad
5th rowBad

Common Values

ValueCountFrequency (%)
Bad 5459
52.2%
Good 5000
47.8%

Length

2024-05-31T10:57:32.781615image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-31T10:57:33.054804image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
bad 5459
52.2%
good 5000
47.8%

Most occurring characters

ValueCountFrequency (%)
d 10459
28.8%
o 10000
27.5%
B 5459
15.0%
a 5459
15.0%
G 5000
13.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 36377
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
d 10459
28.8%
o 10000
27.5%
B 5459
15.0%
a 5459
15.0%
G 5000
13.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 36377
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
d 10459
28.8%
o 10000
27.5%
B 5459
15.0%
a 5459
15.0%
G 5000
13.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 36377
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
d 10459
28.8%
o 10000
27.5%
B 5459
15.0%
a 5459
15.0%
G 5000
13.7%

ExternalRiskEstimate
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct60
Distinct (%)0.6%
Missing598
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean72.06044
Minimum33
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:33.344272image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile57
Q164
median72
Q380
95-th percentile88
Maximum94
Range61
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.8717947
Coefficient of variation (CV)0.13699326
Kurtosis-0.76136203
Mean72.06044
Median Absolute Deviation (MAD)8
Skewness0.0013558785
Sum710588
Variance97.45233
MonotonicityNot monotonic
2024-05-31T10:57:33.814755image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 386
 
3.7%
66 376
 
3.6%
68 372
 
3.6%
73 369
 
3.5%
72 367
 
3.5%
70 350
 
3.3%
63 338
 
3.2%
75 331
 
3.2%
69 316
 
3.0%
80 302
 
2.9%
Other values (50) 6354
60.8%
(Missing) 598
 
5.7%
ValueCountFrequency (%)
33 1
 
< 0.1%
34 1
 
< 0.1%
36 2
 
< 0.1%
37 1
 
< 0.1%
39 1
 
< 0.1%
40 2
 
< 0.1%
41 1
 
< 0.1%
42 2
 
< 0.1%
43 5
< 0.1%
44 4
< 0.1%
ValueCountFrequency (%)
94 1
 
< 0.1%
93 16
 
0.2%
92 34
 
0.3%
91 103
1.0%
90 100
 
1.0%
89 161
1.5%
88 201
1.9%
87 190
1.8%
86 254
2.4%
85 223
2.1%

MSinceOldestTradeOpen
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct524
Distinct (%)5.4%
Missing827
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean200.7691
Minimum2
Maximum803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:34.210145image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile59
Q1135
median186
Q3257
95-th percentile388
Maximum803
Range801
Interquartile range (IQR)122

Descriptive statistics

Standard deviation97.946081
Coefficient of variation (CV)0.48785435
Kurtosis0.61545143
Mean200.7691
Median Absolute Deviation (MAD)59
Skewness0.71147894
Sum1933808
Variance9593.4348
MonotonicityNot monotonic
2024-05-31T10:57:34.827188image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132 67
 
0.6%
178 67
 
0.6%
150 62
 
0.6%
176 62
 
0.6%
165 61
 
0.6%
183 58
 
0.6%
158 57
 
0.5%
206 57
 
0.5%
162 57
 
0.5%
172 57
 
0.5%
Other values (514) 9027
86.3%
(Missing) 827
 
7.9%
ValueCountFrequency (%)
2 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 3
< 0.1%
7 3
< 0.1%
8 5
< 0.1%
9 2
 
< 0.1%
10 6
0.1%
11 6
0.1%
12 7
0.1%
ValueCountFrequency (%)
803 1
< 0.1%
789 1
< 0.1%
604 1
< 0.1%
603 1
< 0.1%
598 1
< 0.1%
590 1
< 0.1%
589 2
< 0.1%
586 1
< 0.1%
584 1
< 0.1%
566 1
< 0.1%

MSinceMostRecentTradeOpen
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct111
Distinct (%)1.1%
Missing588
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean9.5884915
Minimum0
Maximum383
Zeros105
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:35.494890image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q312
95-th percentile29
Maximum383
Range383
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.963398
Coefficient of variation (CV)1.3519747
Kurtosis111.4665
Mean9.5884915
Median Absolute Deviation (MAD)4
Skewness7.0894028
Sum94648
Variance168.04969
MonotonicityNot monotonic
2024-05-31T10:57:36.000535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1161
11.1%
3 1015
 
9.7%
4 885
 
8.5%
5 754
 
7.2%
1 733
 
7.0%
6 660
 
6.3%
7 575
 
5.5%
8 463
 
4.4%
9 414
 
4.0%
10 309
 
3.0%
Other values (101) 2902
27.7%
(Missing) 588
 
5.6%
ValueCountFrequency (%)
0 105
 
1.0%
1 733
7.0%
2 1161
11.1%
3 1015
9.7%
4 885
8.5%
5 754
7.2%
6 660
6.3%
7 575
5.5%
8 463
 
4.4%
9 414
 
4.0%
ValueCountFrequency (%)
383 1
< 0.1%
227 1
< 0.1%
207 1
< 0.1%
184 1
< 0.1%
178 1
< 0.1%
163 1
< 0.1%
159 1
< 0.1%
156 2
< 0.1%
152 1
< 0.1%
145 2
< 0.1%

AverageMInFile
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct236
Distinct (%)2.4%
Missing588
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean78.778138
Minimum4
Maximum383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:36.450419image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile28
Q157
median76
Q397
95-th percentile139
Maximum383
Range379
Interquartile range (IQR)40

Descriptive statistics

Standard deviation34.066063
Coefficient of variation (CV)0.43243042
Kurtosis2.671527
Mean78.778138
Median Absolute Deviation (MAD)20
Skewness0.92056167
Sum777619
Variance1160.4967
MonotonicityNot monotonic
2024-05-31T10:57:37.043099image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71 154
 
1.5%
79 154
 
1.5%
74 151
 
1.4%
68 148
 
1.4%
80 147
 
1.4%
75 145
 
1.4%
84 144
 
1.4%
63 141
 
1.3%
70 141
 
1.3%
81 140
 
1.3%
Other values (226) 8406
80.4%
(Missing) 588
 
5.6%
ValueCountFrequency (%)
4 4
 
< 0.1%
5 6
 
0.1%
6 4
 
< 0.1%
7 9
0.1%
8 12
0.1%
9 15
0.1%
10 12
0.1%
11 12
0.1%
12 14
0.1%
13 20
0.2%
ValueCountFrequency (%)
383 1
< 0.1%
322 1
< 0.1%
275 1
< 0.1%
273 1
< 0.1%
263 1
< 0.1%
258 1
< 0.1%
257 1
< 0.1%
256 1
< 0.1%
252 1
< 0.1%
249 1
< 0.1%

NumSatisfactoryTrades
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct73
Distinct (%)0.7%
Missing588
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean21.121467
Minimum0
Maximum79
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:37.356882image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median20
Q328
95-th percentile42
Maximum79
Range79
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.321396
Coefficient of variation (CV)0.5360137
Kurtosis0.85558801
Mean21.121467
Median Absolute Deviation (MAD)7
Skewness0.80211911
Sum208490
Variance128.174
MonotonicityNot monotonic
2024-05-31T10:57:37.662113image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 386
 
3.7%
15 384
 
3.7%
16 376
 
3.6%
22 369
 
3.5%
19 366
 
3.5%
13 364
 
3.5%
14 347
 
3.3%
21 346
 
3.3%
20 343
 
3.3%
17 337
 
3.2%
Other values (63) 6253
59.8%
(Missing) 588
 
5.6%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 49
 
0.5%
2 92
 
0.9%
3 102
 
1.0%
4 138
1.3%
5 154
1.5%
6 186
1.8%
7 216
2.1%
8 219
2.1%
9 257
2.5%
ValueCountFrequency (%)
79 1
 
< 0.1%
78 1
 
< 0.1%
75 1
 
< 0.1%
74 2
 
< 0.1%
70 2
 
< 0.1%
67 3
< 0.1%
66 2
 
< 0.1%
65 4
< 0.1%
64 6
0.1%
63 5
< 0.1%

NumTrades60Ever/DerogPubRec
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct18
Distinct (%)0.2%
Missing588
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean0.58140006
Minimum0
Maximum19
Zeros6802
Zeros (%)65.0%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:37.963147image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2387833
Coefficient of variation (CV)2.13069
Kurtosis28.60502
Mean0.58140006
Median Absolute Deviation (MAD)0
Skewness4.1698288
Sum5739
Variance1.5345841
MonotonicityNot monotonic
2024-05-31T10:57:38.266466image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 6802
65.0%
1 1802
 
17.2%
2 692
 
6.6%
3 246
 
2.4%
4 148
 
1.4%
5 73
 
0.7%
6 37
 
0.4%
7 30
 
0.3%
8 11
 
0.1%
9 8
 
0.1%
Other values (8) 22
 
0.2%
(Missing) 588
 
5.6%
ValueCountFrequency (%)
0 6802
65.0%
1 1802
 
17.2%
2 692
 
6.6%
3 246
 
2.4%
4 148
 
1.4%
5 73
 
0.7%
6 37
 
0.4%
7 30
 
0.3%
8 11
 
0.1%
9 8
 
0.1%
ValueCountFrequency (%)
19 1
 
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%
14 2
 
< 0.1%
13 2
 
< 0.1%
12 3
 
< 0.1%
11 4
 
< 0.1%
10 8
0.1%
9 8
0.1%
8 11
0.1%

NumTrades90Ever/DerogPubRec
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct16
Distinct (%)0.2%
Missing588
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean0.38476345
Minimum0
Maximum19
Zeros7639
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:38.476259image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.99322265
Coefficient of variation (CV)2.5813851
Kurtosis51.350763
Mean0.38476345
Median Absolute Deviation (MAD)0
Skewness5.4547851
Sum3798
Variance0.98649123
MonotonicityNot monotonic
2024-05-31T10:57:38.713706image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 7639
73.0%
1 1436
 
13.7%
2 488
 
4.7%
3 129
 
1.2%
4 83
 
0.8%
5 38
 
0.4%
6 18
 
0.2%
7 16
 
0.2%
9 8
 
0.1%
10 5
 
< 0.1%
Other values (6) 11
 
0.1%
(Missing) 588
 
5.6%
ValueCountFrequency (%)
0 7639
73.0%
1 1436
 
13.7%
2 488
 
4.7%
3 129
 
1.2%
4 83
 
0.8%
5 38
 
0.4%
6 18
 
0.2%
7 16
 
0.2%
8 3
 
< 0.1%
9 8
 
0.1%
ValueCountFrequency (%)
19 1
 
< 0.1%
16 2
 
< 0.1%
14 1
 
< 0.1%
12 2
 
< 0.1%
11 2
 
< 0.1%
10 5
 
< 0.1%
9 8
0.1%
8 3
 
< 0.1%
7 16
0.2%
6 18
0.2%

PercentTradesNeverDelq
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct71
Distinct (%)0.7%
Missing588
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean92.359943
Minimum0
Maximum100
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:39.017011image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile68
Q189
median97
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.772876
Coefficient of variation (CV)0.12746734
Kurtosis7.9023322
Mean92.359943
Median Absolute Deviation (MAD)3
Skewness-2.4309447
Sum911685
Variance138.60062
MonotonicityNot monotonic
2024-05-31T10:57:39.417012image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 4607
44.0%
96 414
 
4.0%
97 389
 
3.7%
95 379
 
3.6%
94 351
 
3.4%
93 304
 
2.9%
92 292
 
2.8%
88 244
 
2.3%
90 218
 
2.1%
89 205
 
2.0%
Other values (61) 2468
23.6%
(Missing) 588
 
5.6%
ValueCountFrequency (%)
0 6
0.1%
11 1
 
< 0.1%
20 4
< 0.1%
22 1
 
< 0.1%
25 6
0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
29 4
< 0.1%
30 4
< 0.1%
31 3
< 0.1%
ValueCountFrequency (%)
100 4607
44.0%
99 6
 
0.1%
98 173
 
1.7%
97 389
 
3.7%
96 414
 
4.0%
95 379
 
3.6%
94 351
 
3.4%
93 304
 
2.9%
92 292
 
2.8%
91 188
 
1.8%

MSinceMostRecentDelq
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct84
Distinct (%)1.7%
Missing5428
Missing (%)51.9%
Infinite0
Infinite (%)0.0%
Mean21.879547
Minimum0
Maximum83
Zeros102
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:39.693840image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median15
Q334
95-th percentile67
Maximum83
Range83
Interquartile range (IQR)29

Descriptive statistics

Standard deviation20.808514
Coefficient of variation (CV)0.95104865
Kurtosis0.16689998
Mean21.879547
Median Absolute Deviation (MAD)12
Skewness1.0662159
Sum110076
Variance432.99424
MonotonicityNot monotonic
2024-05-31T10:57:39.976767image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 307
 
2.9%
2 294
 
2.8%
3 253
 
2.4%
4 228
 
2.2%
5 178
 
1.7%
6 170
 
1.6%
8 146
 
1.4%
7 140
 
1.3%
10 125
 
1.2%
9 123
 
1.2%
Other values (74) 3067
29.3%
(Missing) 5428
51.9%
ValueCountFrequency (%)
0 102
 
1.0%
1 307
2.9%
2 294
2.8%
3 253
2.4%
4 228
2.2%
5 178
1.7%
6 170
1.6%
7 140
1.3%
8 146
1.4%
9 123
1.2%
ValueCountFrequency (%)
83 1
 
< 0.1%
82 1
 
< 0.1%
81 14
0.1%
80 15
0.1%
79 19
0.2%
78 16
0.2%
77 14
0.1%
76 15
0.1%
75 9
0.1%
74 12
0.1%

MaxDelq/PublicRecLast12M
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct9
Distinct (%)0.1%
Missing588
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean5.7579779
Minimum0
Maximum9
Zeros336
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:40.289570image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6445177
Coefficient of variation (CV)0.28560682
Kurtosis3.1912751
Mean5.7579779
Median Absolute Deviation (MAD)1
Skewness-1.77708
Sum56837
Variance2.7044386
MonotonicityNot monotonic
2024-05-31T10:57:40.472204image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7 4223
40.4%
6 3127
29.9%
4 1612
 
15.4%
0 336
 
3.2%
5 236
 
2.3%
3 224
 
2.1%
1 54
 
0.5%
2 53
 
0.5%
9 6
 
0.1%
(Missing) 588
 
5.6%
ValueCountFrequency (%)
0 336
 
3.2%
1 54
 
0.5%
2 53
 
0.5%
3 224
 
2.1%
4 1612
 
15.4%
5 236
 
2.3%
6 3127
29.9%
7 4223
40.4%
9 6
 
0.1%
ValueCountFrequency (%)
9 6
 
0.1%
7 4223
40.4%
6 3127
29.9%
5 236
 
2.3%
4 1612
 
15.4%
3 224
 
2.1%
2 53
 
0.5%
1 54
 
0.5%
0 336
 
3.2%

MaxDelqEver
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)0.1%
Missing588
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean6.3745315
Minimum2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:40.662647image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q16
median6
Q38
95-th percentile8
Maximum8
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8491861
Coefficient of variation (CV)0.29008972
Kurtosis0.088507949
Mean6.3745315
Median Absolute Deviation (MAD)2
Skewness-0.98210295
Sum62923
Variance3.4194891
MonotonicityNot monotonic
2024-05-31T10:57:40.881560image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 4532
43.3%
6 2868
27.4%
5 968
 
9.3%
2 739
 
7.1%
4 321
 
3.1%
3 311
 
3.0%
7 132
 
1.3%
(Missing) 588
 
5.6%
ValueCountFrequency (%)
2 739
 
7.1%
3 311
 
3.0%
4 321
 
3.1%
5 968
 
9.3%
6 2868
27.4%
7 132
 
1.3%
8 4532
43.3%
ValueCountFrequency (%)
8 4532
43.3%
7 132
 
1.3%
6 2868
27.4%
5 968
 
9.3%
4 321
 
3.1%
3 311
 
3.0%
2 739
 
7.1%

NumTotalTrades
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct87
Distinct (%)0.9%
Missing588
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean22.635498
Minimum0
Maximum104
Zeros133
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:41.677308image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median21
Q330
95-th percentile46
Maximum104
Range104
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.999924
Coefficient of variation (CV)0.5743158
Kurtosis1.4920758
Mean22.635498
Median Absolute Deviation (MAD)8
Skewness0.93400304
Sum223435
Variance168.99803
MonotonicityNot monotonic
2024-05-31T10:57:41.963629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 358
 
3.4%
16 354
 
3.4%
17 350
 
3.3%
22 334
 
3.2%
20 330
 
3.2%
24 327
 
3.1%
21 321
 
3.1%
19 312
 
3.0%
18 312
 
3.0%
13 312
 
3.0%
Other values (77) 6561
62.7%
(Missing) 588
 
5.6%
ValueCountFrequency (%)
0 133
1.3%
1 45
 
0.4%
2 76
 
0.7%
3 115
1.1%
4 119
1.1%
5 132
1.3%
6 147
1.4%
7 190
1.8%
8 186
1.8%
9 238
2.3%
ValueCountFrequency (%)
104 1
 
< 0.1%
100 1
 
< 0.1%
87 1
 
< 0.1%
86 1
 
< 0.1%
85 1
 
< 0.1%
84 1
 
< 0.1%
83 3
< 0.1%
82 2
< 0.1%
79 2
< 0.1%
78 2
< 0.1%

NumTradesOpeninLast12M
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct18
Distinct (%)0.2%
Missing588
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean1.8638436
Minimum0
Maximum19
Zeros2508
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:42.346436image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum19
Range19
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.828099
Coefficient of variation (CV)0.9808221
Kurtosis4.2669898
Mean1.8638436
Median Absolute Deviation (MAD)1
Skewness1.5432729
Sum18398
Variance3.3419459
MonotonicityNot monotonic
2024-05-31T10:57:42.705144image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 2528
24.2%
0 2508
24.0%
2 1969
18.8%
3 1302
12.4%
4 744
 
7.1%
5 365
 
3.5%
6 229
 
2.2%
7 108
 
1.0%
8 56
 
0.5%
9 25
 
0.2%
Other values (8) 37
 
0.4%
(Missing) 588
 
5.6%
ValueCountFrequency (%)
0 2508
24.0%
1 2528
24.2%
2 1969
18.8%
3 1302
12.4%
4 744
 
7.1%
5 365
 
3.5%
6 229
 
2.2%
7 108
 
1.0%
8 56
 
0.5%
9 25
 
0.2%
ValueCountFrequency (%)
19 1
 
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%
14 2
 
< 0.1%
13 2
 
< 0.1%
12 4
 
< 0.1%
11 8
 
0.1%
10 18
 
0.2%
9 25
0.2%
8 56
0.5%

PercentInstallTrades
Real number (ℝ)

MISSING  ZEROS 

Distinct95
Distinct (%)1.0%
Missing588
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean34.618681
Minimum0
Maximum100
Zeros193
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:43.145616image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q121
median33
Q345
95-th percentile67
Maximum100
Range100
Interquartile range (IQR)24

Descriptive statistics

Standard deviation17.953432
Coefficient of variation (CV)0.5186053
Kurtosis0.71176784
Mean34.618681
Median Absolute Deviation (MAD)12
Skewness0.68207952
Sum341721
Variance322.32571
MonotonicityNot monotonic
2024-05-31T10:57:43.548817image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 449
 
4.3%
50 417
 
4.0%
29 334
 
3.2%
25 321
 
3.1%
38 274
 
2.6%
20 273
 
2.6%
36 247
 
2.4%
40 242
 
2.3%
27 226
 
2.2%
17 225
 
2.2%
Other values (85) 6863
65.6%
(Missing) 588
 
5.6%
ValueCountFrequency (%)
0 193
1.8%
2 1
 
< 0.1%
3 12
 
0.1%
4 29
 
0.3%
5 31
 
0.3%
6 36
 
0.3%
7 57
 
0.5%
8 77
 
0.7%
9 83
0.8%
10 84
0.8%
ValueCountFrequency (%)
100 76
0.7%
94 1
 
< 0.1%
93 1
 
< 0.1%
92 2
 
< 0.1%
91 3
 
< 0.1%
90 5
 
< 0.1%
89 4
 
< 0.1%
88 5
 
< 0.1%
87 3
 
< 0.1%
86 12
 
0.1%

MSinceMostRecentInqexcl7days
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)0.3%
Missing2919
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean2.4777188
Minimum0
Maximum24
Zeros4582
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:43.929068image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile14
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.7604125
Coefficient of variation (CV)1.9212884
Kurtosis5.4382691
Mean2.4777188
Median Absolute Deviation (MAD)0
Skewness2.4018969
Sum18682
Variance22.661528
MonotonicityNot monotonic
2024-05-31T10:57:44.362127image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 4582
43.8%
1 614
 
5.9%
2 378
 
3.6%
3 309
 
3.0%
4 268
 
2.6%
5 191
 
1.8%
6 150
 
1.4%
7 139
 
1.3%
8 112
 
1.1%
9 99
 
0.9%
Other values (15) 698
 
6.7%
(Missing) 2919
27.9%
ValueCountFrequency (%)
0 4582
43.8%
1 614
 
5.9%
2 378
 
3.6%
3 309
 
3.0%
4 268
 
2.6%
5 191
 
1.8%
6 150
 
1.4%
7 139
 
1.3%
8 112
 
1.1%
9 99
 
0.9%
ValueCountFrequency (%)
24 8
 
0.1%
23 32
0.3%
22 35
0.3%
21 32
0.3%
20 31
0.3%
19 45
0.4%
18 34
0.3%
17 42
0.4%
16 49
0.5%
15 45
0.4%

NumInqLast6M
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct26
Distinct (%)0.3%
Missing588
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean1.4559822
Minimum0
Maximum66
Zeros3924
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:44.781442image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum66
Range66
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.136161
Coefficient of variation (CV)1.4671615
Kurtosis116.14005
Mean1.4559822
Median Absolute Deviation (MAD)1
Skewness6.1558491
Sum14372
Variance4.5631838
MonotonicityNot monotonic
2024-05-31T10:57:45.028280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 3924
37.5%
1 2545
24.3%
2 1510
 
14.4%
3 761
 
7.3%
4 490
 
4.7%
5 242
 
2.3%
6 140
 
1.3%
7 81
 
0.8%
8 61
 
0.6%
9 32
 
0.3%
Other values (16) 85
 
0.8%
(Missing) 588
 
5.6%
ValueCountFrequency (%)
0 3924
37.5%
1 2545
24.3%
2 1510
 
14.4%
3 761
 
7.3%
4 490
 
4.7%
5 242
 
2.3%
6 140
 
1.3%
7 81
 
0.8%
8 61
 
0.6%
9 32
 
0.3%
ValueCountFrequency (%)
66 1
 
< 0.1%
46 1
 
< 0.1%
29 1
 
< 0.1%
24 2
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
19 3
< 0.1%
18 1
 
< 0.1%
17 3
< 0.1%
16 4
< 0.1%

NumInqLast6Mexcl7days
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct26
Distinct (%)0.3%
Missing588
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean1.3971229
Minimum0
Maximum66
Zeros4078
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:45.243864image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum66
Range66
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0961024
Coefficient of variation (CV)1.5002992
Kurtosis125.28391
Mean1.3971229
Median Absolute Deviation (MAD)1
Skewness6.4162635
Sum13791
Variance4.3936452
MonotonicityNot monotonic
2024-05-31T10:57:45.460561image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 4078
39.0%
1 2529
24.2%
2 1450
 
13.9%
3 759
 
7.3%
4 454
 
4.3%
5 232
 
2.2%
6 132
 
1.3%
7 71
 
0.7%
8 59
 
0.6%
9 28
 
0.3%
Other values (16) 79
 
0.8%
(Missing) 588
 
5.6%
ValueCountFrequency (%)
0 4078
39.0%
1 2529
24.2%
2 1450
 
13.9%
3 759
 
7.3%
4 454
 
4.3%
5 232
 
2.2%
6 132
 
1.3%
7 71
 
0.7%
8 59
 
0.6%
9 28
 
0.3%
ValueCountFrequency (%)
66 1
 
< 0.1%
46 1
 
< 0.1%
29 1
 
< 0.1%
24 2
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
19 2
< 0.1%
18 2
< 0.1%
17 1
 
< 0.1%
16 4
< 0.1%

NetFractionRevolvingBurden
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct126
Distinct (%)1.3%
Missing774
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean34.857718
Minimum0
Maximum232
Zeros608
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:45.725560image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median29
Q356
95-th percentile89
Maximum232
Range232
Interquartile range (IQR)47

Descriptive statistics

Standard deviation28.896627
Coefficient of variation (CV)0.82898792
Kurtosis-0.47530642
Mean34.857718
Median Absolute Deviation (MAD)23
Skewness0.62439397
Sum337597
Variance835.01507
MonotonicityNot monotonic
2024-05-31T10:57:46.075365image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 608
 
5.8%
1 303
 
2.9%
2 274
 
2.6%
3 259
 
2.5%
4 225
 
2.2%
5 208
 
2.0%
6 198
 
1.9%
8 166
 
1.6%
9 151
 
1.4%
7 150
 
1.4%
Other values (116) 7143
68.3%
(Missing) 774
 
7.4%
ValueCountFrequency (%)
0 608
5.8%
1 303
2.9%
2 274
2.6%
3 259
2.5%
4 225
 
2.2%
5 208
 
2.0%
6 198
 
1.9%
7 150
 
1.4%
8 166
 
1.6%
9 151
 
1.4%
ValueCountFrequency (%)
232 1
< 0.1%
165 1
< 0.1%
154 1
< 0.1%
135 1
< 0.1%
131 1
< 0.1%
126 1
< 0.1%
124 1
< 0.1%
120 2
< 0.1%
118 2
< 0.1%
117 1
< 0.1%

NetFractionInstallBurden
Real number (ℝ)

MISSING 

Distinct137
Distinct (%)2.1%
Missing4007
Missing (%)38.3%
Infinite0
Infinite (%)0.0%
Mean68.537973
Minimum0
Maximum471
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:46.343507image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q153
median74
Q387
95-th percentile99
Maximum471
Range471
Interquartile range (IQR)34

Descriptive statistics

Standard deviation24.903776
Coefficient of variation (CV)0.36335735
Kurtosis10.537817
Mean68.537973
Median Absolute Deviation (MAD)16
Skewness0.01690534
Sum442207
Variance620.19806
MonotonicityNot monotonic
2024-05-31T10:57:46.694243image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 174
 
1.7%
92 144
 
1.4%
83 134
 
1.3%
77 133
 
1.3%
87 130
 
1.2%
75 128
 
1.2%
95 126
 
1.2%
89 125
 
1.2%
90 124
 
1.2%
91 122
 
1.2%
Other values (127) 5112
48.9%
(Missing) 4007
38.3%
ValueCountFrequency (%)
0 10
0.1%
1 4
 
< 0.1%
2 15
0.1%
3 21
0.2%
4 11
0.1%
5 17
0.2%
6 24
0.2%
7 5
 
< 0.1%
8 18
0.2%
9 15
0.1%
ValueCountFrequency (%)
471 1
< 0.1%
196 1
< 0.1%
190 1
< 0.1%
165 1
< 0.1%
153 1
< 0.1%
152 1
< 0.1%
151 1
< 0.1%
144 1
< 0.1%
142 1
< 0.1%
140 1
< 0.1%

NumRevolvingTradesWBalance
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct29
Distinct (%)0.3%
Missing744
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean4.1021101
Minimum0
Maximum32
Zeros304
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:47.160955image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile10
Maximum32
Range32
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0216211
Coefficient of variation (CV)0.73660166
Kurtosis5.2421079
Mean4.1021101
Median Absolute Deviation (MAD)2
Skewness1.6924021
Sum39852
Variance9.1301942
MonotonicityNot monotonic
2024-05-31T10:57:47.459701image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2 1708
16.3%
3 1608
15.4%
4 1361
13.0%
1 1331
12.7%
5 1010
9.7%
6 744
7.1%
7 507
 
4.8%
8 350
 
3.3%
0 304
 
2.9%
9 242
 
2.3%
Other values (19) 550
 
5.3%
(Missing) 744
7.1%
ValueCountFrequency (%)
0 304
 
2.9%
1 1331
12.7%
2 1708
16.3%
3 1608
15.4%
4 1361
13.0%
5 1010
9.7%
6 744
7.1%
7 507
 
4.8%
8 350
 
3.3%
9 242
 
2.3%
ValueCountFrequency (%)
32 1
 
< 0.1%
29 1
 
< 0.1%
27 1
 
< 0.1%
26 1
 
< 0.1%
25 1
 
< 0.1%
24 3
< 0.1%
23 1
 
< 0.1%
21 5
< 0.1%
20 4
< 0.1%
19 4
< 0.1%

NumInstallTradesWBalance
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.2%
Missing1449
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean2.4849057
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:47.777454image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum23
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6345031
Coefficient of variation (CV)0.65777269
Kurtosis12.173704
Mean2.4849057
Median Absolute Deviation (MAD)1
Skewness2.4608676
Sum22389
Variance2.6716003
MonotonicityNot monotonic
2024-05-31T10:57:48.062966image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 2863
27.4%
1 2648
25.3%
3 1809
17.3%
4 922
 
8.8%
5 352
 
3.4%
6 186
 
1.8%
7 86
 
0.8%
8 49
 
0.5%
9 36
 
0.3%
10 18
 
0.2%
Other values (8) 41
 
0.4%
(Missing) 1449
13.9%
ValueCountFrequency (%)
1 2648
25.3%
2 2863
27.4%
3 1809
17.3%
4 922
 
8.8%
5 352
 
3.4%
6 186
 
1.8%
7 86
 
0.8%
8 49
 
0.5%
9 36
 
0.3%
10 18
 
0.2%
ValueCountFrequency (%)
23 1
 
< 0.1%
19 2
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 6
 
0.1%
13 5
 
< 0.1%
12 10
 
0.1%
11 15
0.1%
10 18
0.2%
9 36
0.3%

NumBank/NatlTradesWHighUtilization
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct17
Distinct (%)0.2%
Missing1171
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.0922696
Minimum0
Maximum18
Zeros4308
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:48.365452image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5362504
Coefficient of variation (CV)1.4064754
Kurtosis10.936442
Mean1.0922696
Median Absolute Deviation (MAD)1
Skewness2.5635752
Sum10145
Variance2.3600651
MonotonicityNot monotonic
2024-05-31T10:57:48.775003image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 4308
41.2%
1 2514
24.0%
2 1222
 
11.7%
3 620
 
5.9%
4 280
 
2.7%
5 154
 
1.5%
6 81
 
0.8%
7 38
 
0.4%
8 30
 
0.3%
9 11
 
0.1%
Other values (7) 30
 
0.3%
(Missing) 1171
 
11.2%
ValueCountFrequency (%)
0 4308
41.2%
1 2514
24.0%
2 1222
 
11.7%
3 620
 
5.9%
4 280
 
2.7%
5 154
 
1.5%
6 81
 
0.8%
7 38
 
0.4%
8 30
 
0.3%
9 11
 
0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
13 3
 
< 0.1%
12 4
 
< 0.1%
11 10
 
0.1%
10 10
 
0.1%
9 11
 
0.1%
8 30
0.3%
7 38
0.4%

PercentTradesWBalance
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct93
Distinct (%)0.9%
Missing606
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean66.449
Minimum0
Maximum100
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size81.8 KiB
2024-05-31T10:57:49.289265image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q150
median67
Q383
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)33

Descriptive statistics

Standard deviation22.035459
Coefficient of variation (CV)0.33161461
Kurtosis-0.52748621
Mean66.449
Median Absolute Deviation (MAD)17
Skewness-0.26919965
Sum654722
Variance485.56147
MonotonicityNot monotonic
2024-05-31T10:57:49.590580image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 1277
 
12.2%
50 733
 
7.0%
67 611
 
5.8%
75 535
 
5.1%
80 374
 
3.6%
60 342
 
3.3%
83 316
 
3.0%
71 281
 
2.7%
33 273
 
2.6%
57 245
 
2.3%
Other values (83) 4866
46.5%
(Missing) 606
 
5.8%
ValueCountFrequency (%)
0 45
0.4%
4 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
10 6
 
0.1%
11 8
 
0.1%
12 3
 
< 0.1%
13 15
 
0.1%
ValueCountFrequency (%)
100 1277
12.2%
96 3
 
< 0.1%
95 13
 
0.1%
94 28
 
0.3%
93 37
 
0.4%
92 82
 
0.8%
91 82
 
0.8%
90 93
 
0.9%
89 138
 
1.3%
88 176
 
1.7%

Interactions

2024-05-31T10:57:23.775956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:41.294708image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:46.153555image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:50.970895image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:56.575386image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:01.205025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:06.304900image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:11.120070image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:15.856285image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:20.404992image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:24.722028image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:29.094170image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:33.860498image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:38.323116image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:43.143735image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:47.588340image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:51.928350image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:56.543565image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:01.037375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:05.477325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:09.875037image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:14.282332image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:19.088333image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:23.967964image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:41.560770image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:46.359070image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:51.171754image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:56.755173image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:01.393703image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:06.526568image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:11.327960image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:16.058225image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:20.593463image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:24.893745image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:29.461776image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:34.076053image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:38.538379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:43.355429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:47.771047image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:52.127913image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:56.737621image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:01.222168image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:05.655410image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:10.075719image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:14.474588image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:19.288223image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:24.176138image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:41.791869image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:46.553729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:51.411099image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:56.975686image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:01.605277image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:06.728002image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:11.538763image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:16.325013image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:20.769240image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:25.088508image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:29.662003image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:34.275902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:38.747053image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:43.560916image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:47.988874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:52.330091image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:56.994499image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:01.426856image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:05.861037image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:10.271699image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:14.663703image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:19.521978image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:24.357300image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:41.992202image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:46.753587image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:51.643761image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:57.202868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:01.805428image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:06.944414image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:11.738317image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:16.528604image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:20.961372image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:25.294514image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:29.878994image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:34.476698image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:38.975081image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:43.760462image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:48.176195image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:52.554439image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:57.196801image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:01.597459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:06.064160image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:10.466608image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:14.860238image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:19.711051image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:24.558841image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:42.194230image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:47.025783image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:51.911495image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:57.416279image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:02.049038image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:07.154948image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:11.974761image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:16.733814image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:21.121517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:25.494074image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:30.092477image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:34.676675image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:39.191983image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:43.959869image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:48.364856image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:52.923729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:57.401477image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:01.771728image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:06.244221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:10.660620image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:15.038704image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:19.905211image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:24.738454image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:42.408091image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:47.220473image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:52.175955image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:57.639787image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:02.260743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:07.378543image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:12.188262image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:16.937654image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:21.345205image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:25.727465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:30.293958image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:34.855406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:39.394502image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-05-31T10:56:53.127445image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:57.606118image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:01.971099image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:06.478709image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:10.877700image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:15.238221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-05-31T10:56:54.822828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:59.323493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:03.687898image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:08.238969image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:12.603692image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:16.997765image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:21.938430image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:26.678843image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:44.586226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:49.262772image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:54.922104image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:59.638179image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:04.444408image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:09.438372image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:14.227399image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:18.943697image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:23.244021image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:27.627273image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:32.270567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:36.788117image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:41.560348image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:46.018964image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:50.396907image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:55.005381image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:59.510879image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:03.870848image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:08.437334image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:12.779418image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:17.576252image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:22.142891image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:26.927166image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:44.770452image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:49.470603image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:55.192029image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:59.838705image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:04.660353image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:09.638814image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:14.426927image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:19.143689image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:23.430799image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:27.812050image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:32.438338image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:36.990920image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:41.754259image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:46.248968image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:50.576838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:55.189288image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:59.694154image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:04.048359image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:08.649572image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:12.955065image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:17.792845image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:22.339196image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:27.155005image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:44.987605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:49.706735image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:55.410990image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:00.055395image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:04.843296image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:09.843160image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:14.615004image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:19.323858image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:23.627411image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:27.977685image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:32.644849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:37.170944image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:41.943620image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:46.434794image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:50.760508image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:55.374426image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:59.871639image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:04.221638image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:08.826623image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:13.163479image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:18.005636image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:22.577121image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:27.354155image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:45.170805image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:49.927766image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:55.575691image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:00.244150image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:05.038112image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:10.070874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:14.810341image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:19.494332image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:23.826980image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:28.161108image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:32.811881image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:37.361327image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:42.137545image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:46.609202image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:50.937512image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:55.575870image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:00.077506image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:04.393829image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:09.000039image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:13.342346image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:18.176709image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:22.775555image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:27.560471image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:45.356486image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:50.129267image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:55.811317image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:00.428433image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:05.222053image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:10.310343image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:15.010162image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:19.678568image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:23.988368image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:28.343429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:32.995067image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:37.554733image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:42.344554image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:46.859035image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:51.139112image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:55.744356image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:00.267370image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:04.738657image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:09.170756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:13.544600image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:18.361004image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:22.961647image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:27.777579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:45.559339image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:50.326694image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:55.994441image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:00.622013image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:05.494023image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:10.512601image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:15.215834image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:19.860739image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:24.188291image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:28.543781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:33.210322image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:37.737143image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:42.547948image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:47.044055image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:51.361819image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:55.921534image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:00.462175image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:04.938114image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:09.345561image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:13.721495image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:18.538693image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:23.168395image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:27.938170image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:45.769206image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:50.520504image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:56.184535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:00.804865image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:05.670625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:10.709423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:15.388159image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:20.027636image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:24.360752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:28.705103image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:33.404090image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:37.906314image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:42.721861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:47.205070image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:51.538146image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:56.105513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:00.638578image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:05.105098image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:09.510009image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:13.893453image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:18.725688image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:23.338113image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:28.138687image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:45.975311image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:50.743701image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:55:56.393784image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:01.022129image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:06.127349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:10.913194image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:15.678769image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:20.237445image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:24.554118image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:28.905190image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:33.632139image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:38.137359image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:42.944017image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:47.410239image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:51.744332image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:56:56.378940image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:00.838399image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:05.309779image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:09.704893image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:14.088571image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:18.921998image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-31T10:57:23.571047image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Correlations

2024-05-31T10:57:49.812902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
AverageMInFileExternalRiskEstimateMSinceMostRecentDelqMSinceMostRecentInqexcl7daysMSinceMostRecentTradeOpenMSinceOldestTradeOpenMaxDelq/PublicRecLast12MMaxDelqEverNetFractionInstallBurdenNetFractionRevolvingBurdenNumBank/NatlTradesWHighUtilizationNumInqLast6MNumInqLast6Mexcl7daysNumInstallTradesWBalanceNumRevolvingTradesWBalanceNumSatisfactoryTradesNumTotalTradesNumTrades60Ever/DerogPubRecNumTrades90Ever/DerogPubRecNumTradesOpeninLast12MPercentInstallTradesPercentTradesNeverDelqPercentTradesWBalanceRiskPerformance
AverageMInFile1.0000.330-0.0140.1280.2920.724-0.028-0.047-0.185-0.209-0.112-0.199-0.195-0.136-0.0000.1720.1400.013-0.012-0.369-0.171-0.044-0.2090.250
ExternalRiskEstimate0.3301.0000.5230.1980.1330.2520.6190.531-0.060-0.640-0.559-0.228-0.229-0.194-0.3580.019-0.026-0.483-0.416-0.184-0.1590.586-0.4540.462
MSinceMostRecentDelq-0.0140.5231.0000.052-0.084-0.0060.7830.0210.071-0.083-0.0750.0180.017-0.055-0.081-0.002-0.015-0.0310.0030.078-0.0110.307-0.0640.199
MSinceMostRecentInqexcl7days0.1280.1980.0521.0000.0330.1080.0920.086-0.041-0.138-0.122-0.273-0.275-0.013-0.0410.0920.062-0.089-0.086-0.030-0.0440.110-0.1020.202
MSinceMostRecentTradeOpen0.2920.133-0.0840.0331.0000.089-0.009-0.003-0.249-0.052-0.102-0.334-0.341-0.211-0.211-0.232-0.2280.0240.013-0.755-0.005-0.0540.0150.000
MSinceOldestTradeOpen0.7240.252-0.0060.1080.0891.000-0.019-0.019-0.116-0.169-0.044-0.106-0.103-0.0200.1180.2800.314-0.027-0.045-0.113-0.1720.003-0.2210.220
MaxDelq/PublicRecLast12M-0.0280.6190.7830.092-0.009-0.0191.0000.8220.025-0.184-0.127-0.048-0.052-0.109-0.116-0.034-0.077-0.538-0.4240.006-0.1150.830-0.1420.275
MaxDelqEver-0.0470.5310.0210.086-0.003-0.0190.8221.0000.015-0.155-0.091-0.042-0.043-0.078-0.0550.011-0.052-0.684-0.5190.014-0.1180.902-0.1240.236
NetFractionInstallBurden-0.185-0.0600.071-0.041-0.249-0.1160.0250.0151.0000.0410.0210.1010.100-0.007-0.017-0.034-0.022-0.010-0.0070.2740.0810.0260.0530.048
NetFractionRevolvingBurden-0.209-0.640-0.083-0.138-0.052-0.169-0.184-0.1550.0411.0000.7000.0970.0980.1370.411-0.036-0.0180.1220.0940.0780.132-0.1940.6130.349
NumBank/NatlTradesWHighUtilization-0.112-0.559-0.075-0.122-0.102-0.044-0.127-0.0910.0210.7001.0000.1270.1270.1400.5420.1930.1690.0300.0110.127-0.028-0.1040.3620.221
NumInqLast6M-0.199-0.2280.018-0.273-0.334-0.106-0.048-0.0420.1010.0970.1271.0000.9820.1250.1070.1120.1170.0490.0550.3020.039-0.0230.0460.080
NumInqLast6Mexcl7days-0.195-0.2290.017-0.275-0.341-0.103-0.052-0.0430.1000.0980.1270.9821.0000.1270.1120.1160.1230.0480.0550.3040.038-0.0230.0460.077
NumInstallTradesWBalance-0.136-0.194-0.055-0.013-0.211-0.020-0.109-0.078-0.0070.1370.1400.1250.1271.0000.1600.3410.3090.0240.0120.2750.369-0.0330.2200.055
NumRevolvingTradesWBalance-0.000-0.358-0.081-0.041-0.2110.118-0.116-0.055-0.0170.4110.5420.1070.1120.1601.0000.4790.410-0.028-0.0450.270-0.248-0.0190.2870.133
NumSatisfactoryTrades0.1720.019-0.0020.092-0.2320.280-0.0340.011-0.034-0.0360.1930.1120.1160.3410.4791.0000.859-0.139-0.1370.305-0.1150.127-0.2520.157
NumTotalTrades0.140-0.026-0.0150.062-0.2280.314-0.077-0.052-0.022-0.0180.1690.1170.1230.3090.4100.8591.000-0.052-0.0650.280-0.0640.051-0.2000.107
NumTrades60Ever/DerogPubRec0.013-0.483-0.031-0.0890.024-0.027-0.538-0.684-0.0100.1220.0300.0490.0480.024-0.028-0.139-0.0521.0000.832-0.0390.123-0.5720.1420.154
NumTrades90Ever/DerogPubRec-0.012-0.4160.003-0.0860.013-0.045-0.424-0.519-0.0070.0940.0110.0550.0550.012-0.045-0.137-0.0650.8321.000-0.0290.108-0.4060.1240.124
NumTradesOpeninLast12M-0.369-0.1840.078-0.030-0.755-0.1130.0060.0140.2740.0780.1270.3020.3040.2750.2700.3050.280-0.039-0.0291.0000.0060.075-0.0070.074
PercentInstallTrades-0.171-0.159-0.011-0.044-0.005-0.172-0.115-0.1180.0810.132-0.0280.0390.0380.369-0.248-0.115-0.0640.1230.1080.0061.000-0.1310.4050.148
PercentTradesNeverDelq-0.0440.5860.3070.110-0.0540.0030.8300.9020.026-0.194-0.104-0.023-0.023-0.033-0.0190.1270.051-0.572-0.4060.075-0.1311.000-0.1740.258
PercentTradesWBalance-0.209-0.454-0.064-0.1020.015-0.221-0.142-0.1240.0530.6130.3620.0460.0460.2200.287-0.252-0.2000.1420.124-0.0070.405-0.1741.0000.281
RiskPerformance0.2500.4620.1990.2020.0000.2200.2750.2360.0480.3490.2210.0800.0770.0550.1330.1570.1070.1540.1240.0740.1480.2580.2811.000

Missing values

2024-05-31T10:57:28.478046image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-31T10:57:29.154058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-31T10:57:31.029431image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

RiskPerformanceExternalRiskEstimateMSinceOldestTradeOpenMSinceMostRecentTradeOpenAverageMInFileNumSatisfactoryTradesNumTrades60Ever/DerogPubRecNumTrades90Ever/DerogPubRecPercentTradesNeverDelqMSinceMostRecentDelqMaxDelq/PublicRecLast12MMaxDelqEverNumTotalTradesNumTradesOpeninLast12MPercentInstallTradesMSinceMostRecentInqexcl7daysNumInqLast6MNumInqLast6Mexcl7daysNetFractionRevolvingBurdenNetFractionInstallBurdenNumRevolvingTradesWBalanceNumInstallTradesWBalanceNumBank/NatlTradesWHighUtilizationPercentTradesWBalance
0Bad55.0144.04.084.020.03.00.083.02.03.05.023.01.043.00.00.00.033.0NaN8.01.01.069.0
1Bad61.058.015.041.02.04.04.0100.0NaN0.08.07.00.067.00.00.00.00.0NaN0.0NaNNaN0.0
2Bad67.066.05.024.09.00.00.0100.0NaN7.08.09.04.044.00.04.04.053.066.04.02.01.086.0
3Bad66.0169.01.073.028.01.01.093.076.06.06.030.03.057.00.05.04.072.083.06.04.03.091.0
4Bad81.0333.027.0132.012.00.00.0100.0NaN7.08.012.00.025.00.01.01.051.089.03.01.00.080.0
5Bad59.0137.011.078.031.00.00.091.01.04.06.032.01.047.00.00.00.062.093.012.04.03.094.0
6Good54.088.07.037.025.00.00.092.09.04.06.026.03.058.00.04.04.089.076.07.07.02.0100.0
7Good68.0148.07.065.017.00.00.083.031.06.06.018.01.044.00.00.00.028.048.02.02.02.040.0
8Bad59.0324.02.0138.024.00.00.085.05.04.06.027.01.026.00.01.01.068.0NaN7.01.03.090.0
9Bad61.079.04.036.019.00.00.095.05.04.06.019.03.026.00.06.06.031.086.05.03.01.062.0
RiskPerformanceExternalRiskEstimateMSinceOldestTradeOpenMSinceMostRecentTradeOpenAverageMInFileNumSatisfactoryTradesNumTrades60Ever/DerogPubRecNumTrades90Ever/DerogPubRecPercentTradesNeverDelqMSinceMostRecentDelqMaxDelq/PublicRecLast12MMaxDelqEverNumTotalTradesNumTradesOpeninLast12MPercentInstallTradesMSinceMostRecentInqexcl7daysNumInqLast6MNumInqLast6Mexcl7daysNetFractionRevolvingBurdenNetFractionInstallBurdenNumRevolvingTradesWBalanceNumInstallTradesWBalanceNumBank/NatlTradesWHighUtilizationPercentTradesWBalance
10449Good57.0176.04.087.018.00.00.089.02.04.06.018.01.056.04.01.01.093.072.05.03.01.0100.0
10450Good84.0313.06.0103.025.00.00.0100.0NaN7.08.025.02.024.011.00.00.010.092.04.03.00.070.0
10451Good79.0133.02.068.027.00.00.0100.0NaN7.08.030.03.036.00.04.04.01.093.04.02.00.060.0
10452Good90.0197.05.092.013.00.00.0100.0NaN7.08.013.01.046.04.02.02.05.050.03.03.00.0100.0
10453Bad75.0410.02.0121.037.01.01.083.010.04.03.043.01.07.01.01.01.034.0NaN7.01.01.053.0
10454Good73.0131.05.057.021.00.00.095.080.06.06.021.05.019.07.00.00.026.0NaN5.02.00.0100.0
10455Bad65.0147.039.068.011.00.00.092.028.06.06.012.00.042.01.01.01.086.053.02.02.01.080.0
10456Bad74.0129.06.064.018.01.01.0100.0NaN6.08.018.01.033.03.04.04.06.0NaN5.0NaN0.056.0
10457Bad72.0234.012.0113.042.02.02.096.035.06.02.045.00.020.06.00.00.019.0NaN4.01.00.038.0
10458Bad66.028.01.017.04.00.00.0100.0NaN7.08.05.02.060.03.03.02.067.0NaN2.01.00.0100.0

Duplicate rows

Most frequently occurring

RiskPerformanceExternalRiskEstimateMSinceOldestTradeOpenMSinceMostRecentTradeOpenAverageMInFileNumSatisfactoryTradesNumTrades60Ever/DerogPubRecNumTrades90Ever/DerogPubRecPercentTradesNeverDelqMSinceMostRecentDelqMaxDelq/PublicRecLast12MMaxDelqEverNumTotalTradesNumTradesOpeninLast12MPercentInstallTradesMSinceMostRecentInqexcl7daysNumInqLast6MNumInqLast6Mexcl7daysNetFractionRevolvingBurdenNetFractionInstallBurdenNumRevolvingTradesWBalanceNumInstallTradesWBalanceNumBank/NatlTradesWHighUtilizationPercentTradesWBalance# duplicates
1BadNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN323
2GoodNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN265
0Bad64.0242.018.0124.016.02.00.047.02.04.05.019.00.074.00.04.04.027.0NaN2.03.00.0100.02